A design method of zero ripple input current DC-DC converter assisted by constrained GA&PSO algorithms to minimize power losses

The paper presents a constrained optimization procedure to design a DC-DC converter with coupled inductors for minimizing the power losses. Two algorithms have been used, Genetic and Particle Swarm Optimization algorithm, and the results have been compared. In particular, with the proposed technique, the electrical, magnetic and geometrical characteristics of the coupled inductors have been obtained and the values of duty cycle and frequency have been defined in order to obtain the maximum efficiency.

[1]  J. Jatskevich,et al.  Efficient Approaches for Modeling and Simulating Photovoltaic Power Systems , 2013, IEEE Journal of Photovoltaics.

[2]  Jin Jiang,et al.  Modeling of Fuel-Cell-Based Power Supply System for Grid Interface , 2012, IEEE Transactions on Industry Applications.

[3]  T. Meynard,et al.  Interactions Between Fuel Cells and Power Converters: Influence of Current Harmonics on a Fuel Cell Stack , 2007, IEEE Transactions on Power Electronics.

[4]  Giuseppe Marsala,et al.  Power losses analysis and efficiency evaluation of high boost converters for PV and fuel cell applications , 2015, 2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT).

[5]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[6]  Weidong Xiao,et al.  Nonactive Power Loss Minimization in a Bidirectional Isolated DC–DC Converter for Distributed Power Systems , 2014, IEEE Transactions on Industrial Electronics.